AI in Indian healthcare: From roadmap to reality

Abstract

India’s vast and diverse population strains its healthcare system. Amidst these complexities, Artificial Intelligence (AI) emerges as a beacon of hope. This transformative technology promises to revolutionize healthcare, starting with early disease detection and accurate diagnoses. AI, driven by vast medical data, paints a deeper picture of individual health. By analyzing health patterns, it can detect hidden cancers and tuberculosis early, saving lives through proactive treatment. AI’s power extends beyond individual diagnoses. It can scan populations, identifying risk factors and predicting outbreaks before they erupt. This foresight allows for targeted resource allocation and preventive measures, mitigating outbreak impact. AI can even personalize healthcare, shaping treatment plans based on a patient’s unique lifestyle and medical history. This maximizes treatment efficacy, minimizes adverse reactions, and improves patient’s well-being. Imagine AI as a trusted medical advisor, suggesting the most effective treatment options for each individual. However, AI’s promise comes with challenges. Data privacy, reliable infrastructure, and biased algorithms need effective solutions. India, with its strong tech ecosystem and commitment to innovation, is well-positioned to tackle these challenges. By investing in AI research, strengthening data infrastructure, and establishing ethical frameworks, India can unlock AI’s immense potential to revolutionize its healthcare landscape. This will be a dividend for millions, ensuring India’s healthcare system transforms with the brushstrokes of AI, leading to a healthier and more affordable future for all.

Keywords

AI and Indian healthcare / AI capabilities / Challenges and solutions / Overall impact

References

[1] https://www.brookings.edu/articles/how-artificial-intelligence-is-transforming-th e-world/..

[2] https://www.goldmansachs.com/intelligence/pages/how-artificial-intelligence-isaccelerating-innovation-in-healthcare.html..

[3] Bajwa J, Munir U, Nori A, et al. Artificial intelligence in healthcare: transforming the practice of medicine. Future Healthc J. 2021;8(2):e188–e194.

[4] Bohr A, Memarzadeh K. The Rise of Artificial Intelligence in Healthcare Applications [Chapter 2]. Artificial Intelligence in Healthcare. Elsevier Inc;2020:25–60.

[5] https://www.chathamhouse.org/2020/07/artificial-intelligence-healthcare-insightsindia-0/3-ai-healthcare-india-applications..

[6] Matheny MS, Israni TM, Ahmed M, et al., eds. Artificial Intelligence in Health Care: The Hope, the Hype, the Promise, the Peril. Washington, DC: National Academy of Medicine;2022. Available from: https://nap.nationalacademies.org/read/27111/chapter/3.

[7] National Academies of Sciences, Engineering, and Medicine. Artificial Intelligence in Health Care: The Hope, the Hype, the Promise, the Peril 2019 https://doi.org/10.4103/ijcm.IJCM_194_18. Washington, DC: The National Academies Press.https://doi.org/10.17226/27111 Kasthuri A.ChallengestoHealthcarein India -The Five A’s. Indian J Community Med. 2018;43(3):141–143.

[8] Barik D, Thorat A. Issues of unequal access to public health in India. Front Public Health. 2015;27(3):245.

[9] https://www.thehindubusinessline.com/news/science/artificial-intelligence-in-indi an-healthcare-a-promising-future-with-challenges/article67015361.ece..

[10] https://www.cnbctv18.com/healthcare/revolutionizing-healthcare-how-ai-technolo gies-are-enhancing-patient-care-16970901.htm..

[11] Richesn JG, Buchard A. Artificial Intelligence for Medical Diagnosis. Cham: Springer;2021. https://doi.org/10.1007/978-3-030-58080-3_29-1. Available from: https://link.springer.com/referenceworkentry/10.1007/978-3-030-58080-3_29-1.

[12] Kumar Y, Koul A, Singla R, et al. Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda. J Ambient Intell Hum Comput. 2023;14(7):8459–8486.

[13] Cahyo LM, Astuti SD. Early detection of health problems through artificial intelligence (AI) technology in hospital information management: a literature review study. Journal of Medical and Health Studies. 2023;4(3):37–42.

[14] https://medium.com/@analyticsemergingindia/the-future-of-diagnostics-how-ai-a lgorithms-are-improving-accuracy-and-speeding-up-results-ea91f83f36e6..

[15] https://www.expresshealthcare.in/news/the-potential-impact-of-ai-on-the-indian -healthcare-industry/439611/..

[16] Hosny A, Parmar C, Quackenbush J, et al. Artificial intelligence in radiology. Nat Rev Cancer. 2018;18(8):500–510.

[17] Cui M, Zhang DY. Artificial intelligence and computational pathology. Lab Invest. 2021;101:412–422.

[18] https://www.philips.com/a-w/about/news/archive/standard/news/press/2023/20 230301-philips-highlights-ai-powered-integrated-diagnostic-approach-at-ecr-20 23.html..

[19] Loucia K, Nay A, Dunja A. Artificial intelligence in cardiology: hope for the future and power for the present. Front Cardiovasc Med. 2022;9:1–22.

[20] Acosta JN, Falcone GJ, Rajpurkar P, et al. Multimodal biomedical AI. Nat Med. 2022;28:1773–1784.

[21] Dias R, Torkamani A. Artificial intelligence in clinical and genomic diagnostics. Genome Med. 2019;11:70.

[22] Ahmed Z, Mohamed K, Zeeshan S, et al. Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine. Database. 2020:2020.

[23] Schork NJ. Artificial intelligence and personalized medicine. Cancer Treat Res. 2019;178:265–283. PMID:31209850;PMCID: PMC7580505.

[24] Bohr A, Memarzadeh K. The rise of artificial intelligence in healthcare applications. Artificial Intelligence in Healthcare. 2020:25–60.

[25] chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://www.philips.com/c-dam/corporate/newscenter/global/standard/resources/healthcare/2021/enhan ce-human-experience/philips-ai-position-paper.pdf..

[26] https://factored.ai/artificial-intelligence-healthcare/..

[27] Khalid N, Qayyum A, Bilal M, et al. Privacy-preserving artificial intelligence in healthcare: techniques and applications. Comput Biol Med. 2023;158:106848.

[28] Junaid R, Saba B, Jungeun K, Muhammad Wasif N, Amir H, et al. An augmented artificial intelligence augmented artificial intelligence. Front Public Health. 2022;10:1–20.

[29] Santangelo OE, Gentile V, Pizzo S, et al. Machine learning and prediction of infectious diseases: a systematic review. Machine Learning and Knowledge Extraction. 2023;5(1):175–198.

[30] Schork NJ. Artificial intelligence and personalized medicine. Cancer Treat Res. 2019;178:265–283.

[31] https://health.economictimes.indiatimes.com/news/industry/artificial-intelligence-to-be-the-x-factor-in-hospital-management-and-administration-in-india/101203822..

[32] Pillai SV, Kumar RS. The role of data-driven artificial intelligence on COVID-19 disease management in public sphere: a review. Decision. 2021;48(4):375–389.

[33] Zeng D, Cao Z, Neill DB. Artificial intelligence–enabled public health surveillance—from local detection to global epidemic monitoring and control. Artif Intell Med. 2021:437–453.

[34] Agarwal N, Jain P, Pathak R, et al. Telemedicine in India: a tool for transforming health care in the era of COVID-19 pandemic. J Educ Health Promot. 2020;28(9):190.

[35] Rezaei T, Khouzani PJ, Khouzani SJ, et al. Integrating artificial intelligence into telemedicine: revolutionizing healthcare delivery. Kindle.2023. https://doi.org/10.5281/zenodo.8395812.

[36] Paul D, Sanap G, Shenoy S, et al. Artificial intelligence in drug discovery and development. Drug Discov Today. 2021;26(1):80–93.

[37] Pianykh OS, Guitron S, Darren Parke, et al. Improving healthcare operations management with machine learning. Nat Mach Intell. 2020;2(5):266–273.

[38] Gerke S, Minssen T, Cohen G. Ethical and legal challenges of artificial intelligencedriven healthcare. Artificial Intelligence in Healthcare. 2020:295–336.

[39] Reddy S, Winter J, Padmanabhan S. Artificial intelligence in healthcareopportunities and challenges. JHMHP. 2021:5.

[40] Nallamothu PT, Cuthrell KM. Artificial intelligence in health sector: current status and future perspectives. Asian J Res Com Sci. 2023;15(4):1–14.

[41] Feijóo C, Kwon Y, Bauer JM, et al. Harnessing artificial intelligence (AI) to increase wellbeing for all: the case for a new technology diplomacy. Telecommun Pol. 2020;44(6):101988.

[42] Jiang F, Jiang Y, Zhi H, et al. Artificial intelligence in healthcare: past, present and future. Stroke and Vascular Neurology. 2017;2(4):230–243.

[43] Chatterjee S, Dohan MS. Artificial intelligence for healthcare in India: policy initiatives, challenges, and recommendations. Int J Healthc Inf Syst Inf. 2021;16(4):1–11.

[44] Awrahman BJ, Aziz Fatah C, Hamaamin MY. A review of the role and challenges of big data in healthcare informatics and analytics. Comput Intell Neurosci. 2022;2022:5317760.

[45] Guo J, Li B. The application of medical artificial intelligence technology in rural areas of developing countries. Health Equity. 2018;2(1):174–181.

[46] Panagariya A. The Challenges and innovative solutions to rural health dilemma. Ann Neurosci. 2014;21(4):125–127.

[47] Tang L, Li J, Fantus S. Medical artificial intelligence ethics: a systematic review of empirical studies. Digit Health. 2023;9:20552076231186064.

[48] McKee M, Wouters OJ. The challenges of regulating artificial intelligence in healthcare comment on “clinical decision support and new regulatory frameworks for medical devices: are we ready for it? -a viewpoint paper”. Int J Health Pol Manag. 2023;12:7261.

[49] Khanna NN, Maindarkar MA, Viswanathan V, et al. Economics of artificial intelligence in healthcare: diagnosis vs. Treatment. Healthcare (Basel). 2022;10(12):2493.

[50] Petersson L, Larsson I, Nygren JM, et al. Challenges to implementing artificial intelligence in healthcare: a qualitative interview study with healthcare leaders in Sweden. BMC Health Serv Res. 2022;22:850.

[51] Al-Badi FK, Alhosani KA, Jabeen F, et al. Challenges of AI adoption in the UAE healthcare. Vision. 2022;26(2):193–207.

[52] Pantanowitz L, Bui MM, Chauhan C, et al. Rules of engagement: promoting academic-industry partnership in the era of digital pathology and artificial intelligence. Acad Pathol. 2022;9(1):100026. PMID:35669406;PMCID: PMC9163695.

[53] Davenport T, Kalakota R. The potential for artificial intelligence in healthcare. Future Healthc J. 2019;6(2):94–98. PMID:31363513;PMCID: PMC6616181.

[54] Fisher S, Rosella LC. Priorities for successful use of artificial intelligence by public health organizations: a literature review. BMC Publ Health. 2022;22:2146.

[55] Mathur P, Mishra S, Awasthi R, et al. Artificial Intelligence in Healthcare:2021 Year in Review. Reprint);2022. https://doi.org/10.13140/RG.2.2.25350.24645/1.

[56] Al-Kuwaiti A, Nazer K, Al-Reedy A, et al. A review of the role of artificial intelligence in healthcare. J Personalized Med. 2023;13(6):951.

[57] Bak M, Madai VI, Fritzsche MC, et al. You can’t have AI both ways: balancing health data privacy and access fairly. Front Genet. 2022;13:929453.

[58] Kooli C, Al-Muftah H. Artificial intelligence in healthcare: a comprehensive review of its ethical concerns. Technological Sustainability. 2022;1(2):121–131. 2022.

[59] Da-Silva M, Flood CM, Goldenberg A, et al. Regulating the safety of health-related artificial intelligence. Healthc Policy. 2022;17(4):63–77.

[60] Liu C, Shao S, Liu C, et al. Academia-industry digital health collaborations: a crosscultural analysis of barriers and facilitators. Digit Health. 2019;26(5):2055207619878627.

[61] Li L. Reskilling and upskilling the future-ready workforce for industry 4.0 and beyond. Inf Syst Front. 2022;13:1–16.

[62] De-Hond AAH, Leeuwenberg AM, Hooft L, et al. Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review. NPJ Digit Med. 2022;5(1):2.

[63] Alowais SA, Alghamdi SS, Alsuhebany N, et al. Revolutionizing healthcare: the role of artificial intelligence in clinical practice. BMC Med Educ. 2023;23:689.

[64] Nazer LH, Zatarah R, Waldrip S, et al. Bias in artificial intelligence algorithms and recommendations for mitigation. PLOS Digit Health. 2023;2(6):e0000278.

[65] Juang WC, Hsu MH, Cai ZX, et al. Developing an AI-assisted clinical decision support system to enhance in-patient holistic health care. PLoS One. 2022;17(10):e0276501.

[66] Reddy S. Navigating the AI revolution: the case for precise regulation in health care. J Med Internet Res. 2023;25:e49989.

[67] https://www.weforum.org/publications/scaling-smart-solutions-with-ai-in-health -unlocking-impact-on-high-potential-use-cases/#:∼:text=26%20June%202023-, Scal ing%20Smart%20Solutions%20with%20AI%20in%20Health%3A%20Unlocking, on %20High%20potential%20use%20cases&text=The%20healthcare%20sector% 20is%20grappling, potential%20to%20tackle%20these%20issues.

[68] https://timesofindia.indiatimes.com/readersblog/drbstomar/how-ai-is-revolutionizing-healthcare-transforming-diagnostics-treatment-and-administration-49320/.

[69] https://inC42.com/resources/healing-tomorrow-indias-ai-revolution-in-healthcare/.

[70] https://www.weforum.org/agenda/2022/10/ai-in-healthcare-india-trillion-dollar/.

[71] Al-Antari MA. Artificial intelligence for medical diagnostics-existing and future AI technology. Diagnostics. 2023 Feb 12;13(4):688.

[72] https://analyticsindiamag.com/how-surgical-robot-assistants-are-becoming-a-rea lity-in-indian-hospitals-and-healthcare-sector/.

[73] https://zhl.org.in/blog/ziqitza-ai-powered-virtual-assistants-transforming-patient -engagement-and-support/.

[74] https://www.medicalbuyer.co.in/indias-tryst-with-ai-robotics-in-healthcare-mayprove-to-be-milestone/.

[75] https://www2.deloitte.com/xe/en/insights/focus/cognitive-technologies/ai-and-ma chine-learning.html.

[76] Murdoch B. Privacy and artificial intelligence: challenges for protecting health information in a new era. BMC Med Ethics. 2021;22:122. https://doi.org/10.1186/S12910-021-00687-3.

[77] Khan B, Fatima H, Qureshi A, et al. Drawbacks of artificial intelligence and their potential solutions in the healthcare sector. Biomed Mater Devices. 2023;8:1–8.

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